<!DOCTYPE html>

<html>
  <head>
    <meta charset="utf-8">
    
    <title>numpy.polynomial.polyutils.as_series &mdash; NumPy v1.18 Manual</title>
    
    <link rel="stylesheet" type="text/css" href="../../_static/css/spc-bootstrap.css">
    <link rel="stylesheet" type="text/css" href="../../_static/css/spc-extend.css">
    <link rel="stylesheet" href="../../_static/scipy.css" type="text/css" >
    <link rel="stylesheet" href="../../_static/pygments.css" type="text/css" >
    <link rel="stylesheet" href="../../_static/graphviz.css" type="text/css" >
    
    <script type="text/javascript">
      var DOCUMENTATION_OPTIONS = {
        URL_ROOT:    '../../',
        VERSION:     '1.18.1',
        COLLAPSE_INDEX: false,
        FILE_SUFFIX: '.html',
        HAS_SOURCE:  false
      };
    </script>
    <script type="text/javascript" src="../../_static/jquery.js"></script>
    <script type="text/javascript" src="../../_static/underscore.js"></script>
    <script type="text/javascript" src="../../_static/doctools.js"></script>
    <script type="text/javascript" src="../../_static/language_data.js"></script>
    <script type="text/javascript" src="../../_static/js/copybutton.js"></script>
    <link rel="author" title="About these documents" href="../../about.html" >
    <link rel="index" title="Index" href="../../genindex.html" >
    <link rel="search" title="Search" href="../../search.html" >
    <link rel="top" title="NumPy v1.18 Manual" href="../../index.html" >
    <link rel="up" title="Polyutils" href="../routines.polynomials.polyutils.html" >
    <link rel="next" title="numpy.polynomial.polyutils.trimseq" href="numpy.polynomial.polyutils.trimseq.html" >
    <link rel="prev" title="numpy.polynomial.polyutils.PolyBase" href="numpy.polynomial.polyutils.PolyBase.html" > 
  </head>
  <body>
<div class="container">
  <div class="top-scipy-org-logo-header" style="background-color: #a2bae8;">
    <a href="../../index.html">
      <img border=0 alt="NumPy" src="../../_static/numpy_logo.png"></a>
    </div>
  </div>
</div>


    <div class="container">
      <div class="main">
        
	<div class="row-fluid">
	  <div class="span12">
	    <div class="spc-navbar">
              
    <ul class="nav nav-pills pull-left">
        <li class="active"><a href="https://numpy.org/">NumPy.org</a></li>
        <li class="active"><a href="https://numpy.org/doc">Docs</a></li>
        
        <li class="active"><a href="../../index.html">NumPy v1.18 Manual</a></li>
        

          <li class="active"><a href="../index.html" >NumPy Reference</a></li>
          <li class="active"><a href="../routines.html" >Routines</a></li>
          <li class="active"><a href="../routines.polynomials.html" >Polynomials</a></li>
          <li class="active"><a href="../routines.polynomials.package.html" >Polynomial Package</a></li>
          <li class="active"><a href="../routines.polynomials.polyutils.html" accesskey="U">Polyutils</a></li> 
    </ul>
              
              
    <ul class="nav nav-pills pull-right">
      <li class="active">
        <a href="../../genindex.html" title="General Index"
           accesskey="I">index</a>
      </li>
      <li class="active">
        <a href="numpy.polynomial.polyutils.trimseq.html" title="numpy.polynomial.polyutils.trimseq"
           accesskey="N">next</a>
      </li>
      <li class="active">
        <a href="numpy.polynomial.polyutils.PolyBase.html" title="numpy.polynomial.polyutils.PolyBase"
           accesskey="P">previous</a>
      </li>
    </ul>
              
	    </div>
	  </div>
	</div>
        

	<div class="row-fluid">
      <div class="spc-rightsidebar span3">
        <div class="sphinxsidebarwrapper">
  <h4>Previous topic</h4>
  <p class="topless"><a href="numpy.polynomial.polyutils.PolyBase.html"
                        title="previous chapter">numpy.polynomial.polyutils.PolyBase</a></p>
  <h4>Next topic</h4>
  <p class="topless"><a href="numpy.polynomial.polyutils.trimseq.html"
                        title="next chapter">numpy.polynomial.polyutils.trimseq</a></p>
<div id="searchbox" style="display: none" role="search">
  <h4>Quick search</h4>
    <div>
    <form class="search" action="../../search.html" method="get">
      <input type="text" style="width: inherit;" name="q" />
      <input type="submit" value="search" />
      <input type="hidden" name="check_keywords" value="yes" />
      <input type="hidden" name="area" value="default" />
    </form>
    </div>
</div>
<script type="text/javascript">$('#searchbox').show(0);</script>
        </div>
      </div>
          <div class="span9">
            
        <div class="bodywrapper">
          <div class="body" id="spc-section-body">
            
  <div class="section" id="numpy-polynomial-polyutils-as-series">
<h1>numpy.polynomial.polyutils.as_series<a class="headerlink" href="#numpy-polynomial-polyutils-as-series" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="numpy.polynomial.polyutils.as_series">
<code class="sig-prename descclassname">numpy.polynomial.polyutils.</code><code class="sig-name descname">as_series</code><span class="sig-paren">(</span><em class="sig-param">alist</em>, <em class="sig-param">trim=True</em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/numpy/numpy/blob/v1.18.1/numpy/polynomial/polyutils.py#L128-L201"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#numpy.polynomial.polyutils.as_series" title="Permalink to this definition">¶</a></dt>
<dd><p>Return argument as a list of 1-d arrays.</p>
<p>The returned list contains array(s) of dtype double, complex double, or
object.  A 1-d argument of shape <code class="docutils literal notranslate"><span class="pre">(N,)</span></code> is parsed into <code class="docutils literal notranslate"><span class="pre">N</span></code> arrays of
size one; a 2-d argument of shape <code class="docutils literal notranslate"><span class="pre">(M,N)</span></code> is parsed into <code class="docutils literal notranslate"><span class="pre">M</span></code> arrays
of size <code class="docutils literal notranslate"><span class="pre">N</span></code> (i.e., is “parsed by row”); and a higher dimensional array
raises a Value Error if it is not first reshaped into either a 1-d or 2-d
array.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>alist</strong><span class="classifier">array_like</span></dt><dd><p>A 1- or 2-d array_like</p>
</dd>
<dt><strong>trim</strong><span class="classifier">boolean, optional</span></dt><dd><p>When True, trailing zeros are removed from the inputs.
When False, the inputs are passed through intact.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl class="simple">
<dt><strong>[a1, a2,…]</strong><span class="classifier">list of 1-D arrays</span></dt><dd><p>A copy of the input data as a list of 1-d arrays.</p>
</dd>
</dl>
</dd>
<dt class="field-odd">Raises</dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>ValueError</strong></dt><dd><p>Raised when <a class="reference internal" href="#numpy.polynomial.polyutils.as_series" title="numpy.polynomial.polyutils.as_series"><code class="xref py py-obj docutils literal notranslate"><span class="pre">as_series</span></code></a> cannot convert its input to 1-d arrays, or at
least one of the resulting arrays is empty.</p>
</dd>
</dl>
</dd>
</dl>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">numpy.polynomial</span> <span class="kn">import</span> <span class="n">polyutils</span> <span class="k">as</span> <span class="n">pu</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">pu</span><span class="o">.</span><span class="n">as_series</span><span class="p">(</span><span class="n">a</span><span class="p">)</span>
<span class="go">[array([0.]), array([1.]), array([2.]), array([3.])]</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">6</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">pu</span><span class="o">.</span><span class="n">as_series</span><span class="p">(</span><span class="n">b</span><span class="p">)</span>
<span class="go">[array([0., 1., 2.]), array([3., 4., 5.])]</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">pu</span><span class="o">.</span><span class="n">as_series</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">3</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float16</span><span class="p">)))</span>
<span class="go">[array([1.]), array([0., 1., 2.]), array([0., 1.])]</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">pu</span><span class="o">.</span><span class="n">as_series</span><span class="p">([</span><span class="mi">2</span><span class="p">,</span> <span class="p">[</span><span class="mf">1.1</span><span class="p">,</span> <span class="mf">0.</span><span class="p">]])</span>
<span class="go">[array([2.]), array([1.1])]</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">pu</span><span class="o">.</span><span class="n">as_series</span><span class="p">([</span><span class="mi">2</span><span class="p">,</span> <span class="p">[</span><span class="mf">1.1</span><span class="p">,</span> <span class="mf">0.</span><span class="p">]],</span> <span class="n">trim</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="go">[array([2.]), array([1.1, 0. ])]</span>
</pre></div>
</div>
</dd></dl>

</div>


          </div>
        </div>
          </div>
        </div>
      </div>
    </div>

    <div class="container container-navbar-bottom">
      <div class="spc-navbar">
        
      </div>
    </div>
    <div class="container">
    <div class="footer">
    <div class="row-fluid">
    <ul class="inline pull-left">
      <li>
        &copy; Copyright 2008-2019, The SciPy community.
      </li>
      <li>
      Last updated on Feb 20, 2020.
      </li>
      <li>
      Created using <a href="http://sphinx.pocoo.org/">Sphinx</a> 2.4.2.
      </li>
    </ul>
    </div>
    </div>
    </div>
  </body>
</html>